Large-data-volume relational graph data loading optimization method and system
The invention provides a large-data-volume relational graph data loading optimization method and system. The method comprises the following steps: acquiring all requested relational graph data; judging whether the sum of the numbers of the nodes and the edges of all the relational graph data exceeds...
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Main Authors | , , , , |
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Format | Patent |
Language | Chinese English |
Published |
30.12.2022
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Subjects | |
Online Access | Get full text |
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Summary: | The invention provides a large-data-volume relational graph data loading optimization method and system. The method comprises the following steps: acquiring all requested relational graph data; judging whether the sum of the numbers of the nodes and the edges of all the relational graph data exceeds a set value or not, if yes, adopting a preset layout configuration mode of closing repulsive force and animation effect, and otherwise, adopting a user-defined layout configuration mode to complete preliminary rendering of the relational graph; judging whether to accept that the page is in a loading state for a long time, if so, starting loading on the page when the request data is started until the relational graph rendering is finished, and if not, carrying out block processing on the relational graph according to a set unit, and gradually rendering data of nodes and edges of each block; and displaying the finally rendered relation graph. The layout mode can be dynamically changed according to the data volume.
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Bibliography: | Application Number: CN202211137163 |